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runtune

A runtime learning loop for coding agents. Turns Claude Code, Codex, Cursor, Antigravity and model-router runs into human-approved, measured changes to the agent harness: guard rules, skills, sub-agents and routes. It tunes the harness, not the model.

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GITHUB · launched Sep 27, 2026 · 9 upvotes (top 80%) · 0 views

Niche: ai agent runtime environments · 858 launches, 611 in the last 7 days ▲ +1147% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI-native
  • Hobby / open-source project
  • agent-harness
  • agent-telemetry
  • ai-agents
  • antigravity
  • claude-code
  • codex
  • +9 more

Visit website ↗ Source listing ↗

Could you build this?

Partial Logging agent execution traces and displaying them in a UI is simple, but building automated learning loops that reliably synthesize new prompt guardrails and routing rules requires deep agent eval expertise.

What it would actually take: The architecture requires high-throughput telemetry ingestion (e.g., ClickHouse or OpenTelemetry) to track token-level agent runs, combined with AST-level diff evaluations to verify output code correctness. The difficult core is an automated optimization engine that clusters failure modes and reliably synthesizes harness modifications without causing catastrophic regressions. Building this demands specialized expertise in automated prompt optimization, agent evaluation frameworks, and compiler/AST analysis.

Competitors

Other products that read as similar to this one : 1849 launches clear the similarity bar, closest 8 shown.

Attention rank: #1527 of 1850 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 331 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.